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  1. MA Art in Science exhibition - 'Fading Footsteps'

    Visual art can be a powerful activist tool to combat biodiversity loss and foster greater emotional regard for non-human animals. This exhibition presents an auto-ethnographical account of a visit to Uganda. Personal meaning maps, paintings and films aim to stimulate awareness of endangered and vulnerable primate species and evoke increased empathy towards supporting conservation.

  2. Litter Picking: Mount Pleasant

    The Environmental Sustainability and Energy Team at LJMU are litter picking around campus, keeping our city and estate clean for our community.

  3. Equality, diversity and inclusion in journalism teaching conference

    The journalism department is holding a free one-day conference on EDI in Journalism education on June 26th. Although the conference is geared towards Journalism education, the conference is open to educators from other subject areas who will be welcome to share their research and best practice as well as benefit from transferable, practical ideas around embedding EDI in teaching, learning and assessment and creating an inclusive environment for students.

  4. ARI Seminar: Nikhil Sarin (Stockholm University)

    A neutron star binary merges somewhere in the Universe approximately every 10 to 1000 seconds, creating violent explosions potentially observable in gravitational waves and across the electromagnetic spectrum. The transformative coincident gravitational wave and electromagnetic observations of the binary neutron star merger GW170817 gave invaluable insights into these cataclysmic collisions and fundamental astrophysics. However, despite our high expectations, we have failed to see any other event like it. In this talk, I will highlight what we can learn from other observations of mergers seen directly in gravitational waves or indirectly as a gamma-ray burst and/or kilonova. I will also discuss the diversity in electromagnetic and gravitational-wave emission we can expect for future mergers and showcase tools to help maximally extract physics from existing and future observations.